An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

Methods and systems for assessing a robotic grasping technique. The system in accordance with various embodiments may include a warehouse management system for retrieving and storing items, a robotic manipulator for grasping an item, and analysis module configured to receive data regarding a first grasp attempt by the robotic manipulator and analyze the received data to determine whether the robotic manipulator successfully grasped the item.

A robot for performing an expression by a non-verbal reaction, includes a body including a lower part provided so as to be capable of panning and tilting with respect to a support point coupled to a placement surface; a pair of arms provided to side parts of the body so as to be capable of moving up and down; and a head provided to an upper part of the body so as to be capable of panning and tilting, wherein the non-verbal reaction includes a combination of the tilting and the panning of the body with respect to the support point and movement of the pair of arms or the head or any combination thereof.

A robot and operation method is disclosed. The robot according to the present disclosure may include a sensor, a microphone, and a controller. The robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and may communicate with other electronic devices in a 5G communication environment. An embodiment may include detecting a movement of the robot to a location; detecting an obstacle within a predetermined range from the robot; estimating an occupation area of the obstacle in space; and identifying a sound signal received from the estimated occupation area of the obstacle from among a plurality of sound signals received by a plurality of microphones of the robot at the location.

A self-propelled device is disclosed to recognize objects, possess objects, and transport objects to a new location. A method is disclosed to use the device to transport objects in environments dangerous to humans. Other example embodiments are described and claimed.

There is provided an information processing device including a passive ultrasonic sensor, a notification section that notifies a user, and a control section that, when detecting a feature indicating approach of an object learned in advance from sensor data detected by the ultrasonic sensor, controls the notification section to notify the user.

A robotic animal puzzle is assembled from flat board pieces. The robotic animal includes a head portion. The head portion includes a neck group, a torso portion, including a holder 15 for an optional battery, multiple leg portions, and a tail portion. Those pieces and groups are connected using either interlocking mechanisms or flexible linkages to form the robotic animal-shaped puzzle. Movement and gestures may be controlled by an externally connected processor powered by an on-board battery pack. A pull and drag mechanism is provided to conveniently tune the center of mass. Slots allow the screw that connects the battery holder to slide.

Automated systems and methods of using a smart end-effector tool to prepare (e.g., scuffing, abrading, sanding, polishing, etc.) an object surface are provided. The smart tool can update its working state with a robot arm in real time, which in turn adjusts locomotion parameters to optimize the tool's working state on the object surface.

A serving robot includes a camera to obtain image data including at least one of a facial expression or a gesture, which is associated with food, of a customer, a microphone to obtain voice data including voice of the customer, which is associated with the food and a processor to obtain customer reaction data including at least one of the image data or the voice data, through at least one of the camera or the microphone, estimate a reaction of the customer to the food, from the obtained customer reaction data, and generate or update customer management information corresponding to the customer based on the estimated reaction. The robot estimates the reaction the customer from the customer reaction data through the learning model based on artificial intelligence.

A mobile robot including a mobile base element and at least one multi-jointed manipulator, wherein the robot includes several telemedical devices. The invention also relates to a robot for performing a movement sequence together with a limb of a human with the help of a manipulator.